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2024 Vol. 51, No. 2
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ZHENG Jintao, JIN Xiaomei, LI Qing, YIN Xiulan, JIN Aifang. Driving factors analysis of surface soil moisture variation in Zhangjiakou-Chengde district based on geodetector[J]. Hydrogeology & Engineering Geology, 2024, 51(2): 204-214. doi: 10.16030/j.cnki.issn.1000-3665.202309007
Citation: ZHENG Jintao, JIN Xiaomei, LI Qing, YIN Xiulan, JIN Aifang. Driving factors analysis of surface soil moisture variation in Zhangjiakou-Chengde district based on geodetector[J]. Hydrogeology & Engineering Geology, 2024, 51(2): 204-214. doi: 10.16030/j.cnki.issn.1000-3665.202309007
shu

Driving factors analysis of surface soil moisture variation in Zhangjiakou-Chengde district based on geodetector

  • 1.

    School of Water Resources and Environment, China University of Geosciences （Beijing）, Beijing　100083, China

  • 2.

    China Institute of Geo-Environment Monitoring, Beijing　100081, China

  • 3.

    Natural Resources Comprehensive Survey Command Center, China Geological Survey, Beijing　100055, China

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Received Date:  04 September 2023
Revised Date:  16 October 2023
Publish Date:  15 March 2024
    Abstract

  • As an important water conservation and sand-windy barrier, Zhangjiakou and Chengde (Zhang-Cheng) district of Hebei Province is very important for ecological protection in the Beijing-Tianjin-Hebei region. The soil moisture is an important comprehensive indicator for climate, vegetation cover, and soil property, and is essential in the cycle of atmospheric−surface water−underground water. However, few studies focused on the soil moisture change and its impact factors in the Zhang-Cheng district, an area with semi-arid climate and scarce water resources. Based on moderate-resolution imaging spectroradiometer (MODIS) and global land data assimilation system data (GLDAS), the spatiotemporal variation of surface soil moisture in Zhang-Cheng district was simulated during the period of 2001−2021 using temperature vegetation dryness index (TVDI) model. Moreover, the geodetector method was also employed to identify the contribution of 8 impact factors on soil moisture. The results indicate that the soil moisture is generally fluctuating increase during the period of 2001−2021. Spatially, the soil moisture is higher in the east and lower in the west part of the study area and approximately 83.09% of the the study area experienced a progressive increase in soil moisture. In terms of driving factors, normalized difference vegetation index (NDVI), soil type, annual precipitation, land use type, slope, elevation, annual temperature, and aspect were analyzed in descending order of their effect on soil moisture variation. NDVI and soil type are the dominant drivers, with each contribution exceeding 30%. As to interaction analysis, it indicates that the effect of multiple factors is greater than that of individual factor. The synergistic interaction between NDVI and elevation is the largest influence on soil moisture. This study has great significance for efficient utilization of water resources and eco-environmental protection in the Zhang-Cheng district.

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  • [1] 程梦园,曹广超,赵美亮,等. 香日德-柴达木河流域土壤湿度时空变化特征及其影响因素[J]. 干旱区研究,2022,39(2):615 − 624. [CHENG Mengyuan,CAO Guangchao,ZHAO Meiliang,et al. Temporal and spatial variation characteristics and influencial factors of soil moisture in the Xiangride-Qaidam River Basin[J]. Arid Zone Research,2022,39(2):615 − 624. (in Chinese with English abstract)]

    Google Scholar

    CHENG Mengyuan, CAO Guangchao, ZHAO Meiliang, et al. Temporal and spatial variation characteristics and influencial factors of soil moisture in the Xiangride-Qaidam River Basin[J]. Arid Zone Research, 2022, 39（2）: 615 − 624. （in Chinese with English abstract）

    Google Scholar

    [2] 王德应,杨永崇,王涛,等. 基于TVDI的河南省土壤湿度时空变化及影响因素分析[J]. 中国农村水利水电,2022(6):138 − 146. [WANG Deying,YANG Yongchong,WANG Tao,et al. Spatial-temporal variation characteristics of soil moisture and its relationship with meteorological factors in Henan Province based on TVDI[J]. China Rural Water and Hydropower,2022(6):138 − 146. (in Chinese with English abstract)]

    Google Scholar

    WANG Deying, YANG Yongchong, WANG Tao, et al. Spatial-temporal variation characteristics of soil moisture and its relationship with meteorological factors in Henan Province based on TVDI[J]. China Rural Water and Hydropower, 2022（6）: 138 − 146. （in Chinese with English abstract）

    Google Scholar

    [3] 杨曦,武建军,闫峰,等. 基于地表温度-植被指数特征空间的区域土壤干湿状况[J]. 生态学报,2009,29(3):1205 − 1216. [YANG Xi,WU Jianjun,YAN Feng,et al. Assessment of regional soil moisture status based on characteristics of surface temperature/vegetation index space[J]. Acta Ecologica Sinica,2009,29(3):1205 − 1216. (in Chinese with English abstract)]

    Google Scholar

    YANG Xi, WU Jianjun, YAN Feng, et al. Assessment of regional soil moisture status based on characteristics of surface temperature/vegetation index space[J]. Acta Ecologica Sinica, 2009, 29（3）: 1205 − 1216. （in Chinese with English abstract）

    Google Scholar

    [4] LIU Yi,LI Peng,ZHANG Zhiwei. Resilient or not:A comparative case study of ten local water markets in China[J]. Sustainability,2018,10(11):4020. doi: 10.3390/su10114020

    CrossRef Google Scholar

    [5] HUANG Guangwei. From water-constrained to water-driven sustainable development:A case of water policy impact evaluation[J]. Sustainability,2015,7(7):8950 − 8964. doi: 10.3390/su7078950

    CrossRef Google Scholar

    [6] MOORE S M. The development of water markets in China:Progress,peril,and prospects[J]. Water Policy,2015,17(2):253 − 267. doi: 10.2166/wp.2014.063

    CrossRef Google Scholar

    [7] 梁韶卿. 温度植被干旱指数(TVDI)的优化与评价[D]. 太原:太原理工大学,2021. [LIANG Shaoqing. Optimization and evaluation of temperature vegetation drought index (TVDI)[D]. Taiyuan:Taiyuan University of Technology,2021. (in Chinese with English abstract)]

    Google Scholar

    LIANG Shaoqing. Optimization and evaluation of temperature vegetation drought index （TVDI）[D]. Taiyuan: Taiyuan University of Technology, 2021. （in Chinese with English abstract）

    Google Scholar

    [8] 郭铌,李栋梁,蔡晓军,等. 1995年中国西北东部特大干旱的气候诊断与卫星监测[J]. 干旱区地理,1997,20(3):69 − 74. [GUO Ni,LI Dongliang,Cai Xiaojun,et al. Climatic diagnosis and satellite monitoring of a severe drought over eastern Northwest China in 1995[J]. Arid Land Geography,1997,20(3):69 − 74. (in Chinese with English abstract)]

    Google Scholar

    GUO Ni, LI Dongliang, Cai Xiaojun, et al. Climatic diagnosis and satellite monitoring of a severe drought over eastern Northwest China in 1995[J]. Arid Land Geography, 1997, 20（3）: 69 − 74. （in Chinese with English abstract）

    Google Scholar

    [9] 刘泽,陈建平. 北京植被时空变化与气候因子相关性[J]. 地质通报,2021,40(12):2159 − 2166. [LIU Ze,CHEN Jianping. Correlation between temporal-spatial changes of vegetation and climate factors in Beijing[J]. Geological Bulletin of China,2021,40(12):2159 − 2166. (in Chinese with English abstract)]

    Google Scholar

    LIU Ze, CHEN Jianping. Correlation between temporal-spatial changes of vegetation and climate factors in Beijing[J]. Geological Bulletin of China, 2021, 40（12）: 2159 − 2166. （in Chinese with English abstract）

    Google Scholar

    [10] KOGAN F,SULLIVAN J. Development of global drought-watch system using NOAA/AVHRR data[J]. Advances in Space Research,1993,13(5):219 − 222. doi: 10.1016/0273-1177(93)90548-P

    CrossRef Google Scholar

    [11] 冯强,田国良,王昂生,等. 基于植被状态指数的土壤湿度遥感方法研究[J]. 自然灾害学报,2004,13(3):81 − 88. [FENG Qiang,TIAN Guoliang,WANG Angsheng,et al. Remote sensing monitoring of soil humidity using vegetation condition index[J]. Journal of Natural Disasters,2004,13(3):81 − 88. (in Chinese with English abstract)]

    Google Scholar

    FENG Qiang, TIAN Guoliang, WANG Angsheng, et al. Remote sensing monitoring of soil humidity using vegetation condition index[J]. Journal of Natural Disasters, 2004, 13（3）: 81 − 88. （in Chinese with English abstract）

    Google Scholar

    [12] Liu Huiqing,HUETE A. A feedback based modification of the NDVI to minimize canopy background and atmospheric noise[J]. IEEE Transactions on Geoscience and Remote Sensing,1995,33(2):457 − 465. doi: 10.1109/TGRS.1995.8746027

    CrossRef Google Scholar

    [13] 杨文杰. 基于Landsat 8生长时序遥感信息的玉米干旱监测研究[D]. 石河子:石河子大学,2017. [YANG Wenjie. The research of monitoring on drought of maize based on landsat 8 growing time series remote sensing data[D]. Shihezi:Shihezi University,2017. (in Chinese with English abstract)]

    Google Scholar

    YANG Wenjie. The research of monitoring on drought of maize based on landsat 8 growing time series remote sensing data[D]. Shihezi: Shihezi University, 2017. （in Chinese with English abstract）

    Google Scholar

    [14] 王劲峰,徐成东. 地理探测器:原理与展望[J]. 地理学报,2017,72(1):116 − 134. [WANG Jinfeng,XU Chengdong. Geodetector:Principle and prospective[J]. Acta Geographica Sinica,2017,72(1):116 − 134. (in Chinese with English abstract)]

    Google Scholar

    WANG Jinfeng, XU Chengdong. Geodetector: Principle and prospective[J]. Acta Geographica Sinica, 2017, 72（1）: 116 − 134. （in Chinese with English abstract）

    Google Scholar

    [15] 覃星铭, 马国斌, 蒋忠诚, 等. 典型石漠化峰丛洼地土壤重金属的空间分异特征及其影响因素[J]. 地质科技通报,2022,41(5):283 − 292. [QIN Xingming, MA Guobin, JIANG Zhongcheng, et al. Spatial variations and influencing factors analysis of heavy metals in the soil of typical rocky desertification peak cluster depression[J]. Bulletin of Geological Science and Technology,2022,41(5):283 − 292. (in Chinese with English abstract)]

    Google Scholar

    QIN Xingming, MA Guobin, JIANG Zhongcheng, et al. Spatial variations and influencing factors analysis of heavy metals in the soil of typical rocky desertification peak cluster depression[J]. Bulletin of Geological Science and Technology, 2022, 41（5）: 283 − 292. （in Chinese with English abstract）

    Google Scholar

    [16] 胡清清, 杨晓霞. 我国地质文化村(镇)空间分布特征及影响因素研究[J]. 地质论评,2024,70(1):277 − 286. [HU Qingqing, YANG Xiaoxia. Spatial distribution characteristics and influencing factors of Geological Culture Villages (Towns) in China[J]. Geological Review,2024,70(1):277 − 286. (in Chinese with English abstract)]

    Google Scholar

    HU Qingqing, YANG Xiaoxia. Spatial distribution characteristics and influencing factors of Geological Culture Villages （Towns） in China[J]. Geological Review, 2024, 70（1）: 277 − 286. （in Chinese with English abstract）

    Google Scholar

    [17] 马靖宣,金晓媚,张绪财,等. 基于InVEST模型的张承地区水源涵养功能时空变化特征[J]. 水文地质工程地质,2023,50(3):54 − 64. [MA Jingxuan,JIN Xiaomei,ZHANG Xucai,et al. Spatio-temporal change characteristics of water conservation function in the Zhang-Cheng district based on the InVEST model[J]. Hydrogeology & Engineering Geology,2023,50(3):54 − 64. (in Chinese with English abstract)]

    Google Scholar

    MA Jingxuan, JIN Xiaomei, ZHANG Xucai, et al. Spatio-temporal change characteristics of water conservation function in the Zhang-Cheng district based on the InVEST model[J]. Hydrogeology & Engineering Geology, 2023, 50（3）: 54 − 64. （in Chinese with English abstract）

    Google Scholar

    [18] 邵雅琪,姜群鸥,胡中民,等. 张承地区植被指数时空演变特征及其与气候因子的关系[J]. 中国农业大学学报,2018,23(7):96 − 106. [SHAO Yaqi,JIANG Qunou,HU Zhongmin,et al. Spatio-temporal evolution of the vegetation index and its relationship with climatic factors in the Zhangjiakou-Chengde Region[J]. Journal of China Agricultural University,2018,23(7):96 − 106. (in Chinese with English abstract)]

    Google Scholar

    SHAO Yaqi, JIANG Qunou, HU Zhongmin, et al. Spatio-temporal evolution of the vegetation index and its relationship with climatic factors in the Zhangjiakou-Chengde Region[J]. Journal of China Agricultural University, 2018, 23（7）: 96 − 106. （in Chinese with English abstract）

    Google Scholar

    [19] 王盛,李亚文,李庆,等. 变化环境影响下张承地区水源涵养和土壤保持服务及其权衡与协同关系研究[J]. 生态学报,2022,42(13):5391 − 5403. [WANG Sheng,LI Yawen,LI Qing,et al. Water and soil conservation and their trade-off and synergistic relationship under changing environment in Zhangjiakou-Chengde Area[J]. Acta Ecologica Sinica,2022,42(13):5391 − 5403. (in Chinese with English abstract)]

    Google Scholar

    WANG Sheng, LI Yawen, LI Qing, et al. Water and soil conservation and their trade-off and synergistic relationship under changing environment in Zhangjiakou-Chengde Area[J]. Acta Ecologica Sinica, 2022, 42（13）: 5391 − 5403. （in Chinese with English abstract）

    Google Scholar

    [20] 闫峰,王艳姣,武建军. 基于Ts-EVI特征空间的春旱遥感监测——以河北省为例[J]. 干旱区地理,2009,32(5):769 − 775. [YAN Feng,WANG Yanjiao,WU Jianjun. Application of Ts-EVI character space to monitor spring drought:A case study in Hebei China[J]. Arid Land Geography,2009,32(5):769 − 775. (in Chinese with English abstract)]

    Google Scholar

    YAN Feng, WANG Yanjiao, WU Jianjun. Application of Ts-EVI character space to monitor spring drought: A case study in Hebei China[J]. Arid Land Geography, 2009, 32（5）: 769 − 775. （in Chinese with English abstract）

    Google Scholar

    [21] 薄燕飞,白建军,刘永林. 基于TVDI及气象干旱指数的河北省春旱时空变化特征[J]. 兰州大学学报(自然科学版),2016,52(2):188 − 195. [BO Yanfei,BAI Jianjun,LIU Yonglin. The spatial-temporal variations of spring drought in Hebei Province based on TVDI and meteorological drought index[J]. Journal of Lanzhou University (Natural Sciences),2016,52(2):188 − 195. (in Chinese with English abstract)]

    Google Scholar

    BO Yanfei, BAI Jianjun, LIU Yonglin. The spatial-temporal variations of spring drought in Hebei Province based on TVDI and meteorological drought index[J]. Journal of Lanzhou University （Natural Sciences）, 2016, 52（2）: 188 − 195. （in Chinese with English abstract）

    Google Scholar

    [22] 朱彦儒,赵红莉,黄艳艳,等. 基于双指数联合模型的土壤含水量反演——以河北省为例[J]. 南水北调与水利科技(中英文),2020,18(4):71 − 80. [ZHU Yanru,ZHAO Hongli,HUANG Yanyan,et al. Soil water content inversion based on double-index combined model:Taking Hebei Province as an example[J]. South-to-North Water Transfers and Water Science & Technology,2020,18(4):71 − 80. (in Chinese with English abstract)]

    Google Scholar

    ZHU Yanru, ZHAO Hongli, HUANG Yanyan, et al. Soil water content inversion based on double-index combined model: Taking Hebei Province as an example[J]. South-to-North Water Transfers and Water Science & Technology, 2020, 18（4）: 71 − 80. （in Chinese with English abstract）

    Google Scholar

    [23] 王嘉杰. 基于TVDI的河北省干旱监测及其滞后性研究[D]. 邯郸:河北工程大学,2022. [WANG Jiajie. Study on drought monitoring and its lag in Hebei Province based on TVDI[D]. Handan:Hebei University of Engineering,2022. (in Chinese with English abstract)]

    Google Scholar

    WANG Jiajie. Study on drought monitoring and its lag in Hebei Province based on TVDI[D]. Handan: Hebei University of Engineering, 2022. （in Chinese with English abstract）

    Google Scholar

    [24] SANDHOLT I,RASMUSSEN K,ANDERSEN J. A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status[J]. Remote Sensing of Environment,2002,79(2/3):213 − 224.

    Google Scholar

    [25] 沙莎,郭铌,李耀辉,等. 我国温度植被旱情指数TVDI的应用现状及问题简述[J]. 干旱气象,2014,32(1):128 − 134. [SHA Sha,GUO Ni,LI Yaohui,et al. Introduction of application of temperature vegetation dryness index in China[J]. Journal of Arid Meteorology,2014,32(1):128 − 134. (in Chinese with English abstract)]

    Google Scholar

    SHA Sha, GUO Ni, LI Yaohui, et al. Introduction of application of temperature vegetation dryness index in China[J]. Journal of Arid Meteorology, 2014, 32（1）: 128 − 134. （in Chinese with English abstract）

    Google Scholar

    [26] 孙振蓉. 京津冀地区冬小麦面积估算和旱情遥感监测研究[D]. 北京:北京林业大学,2015. [SUN Zhenrong. Estimation of winter wheat area and drought monitoring research based on remote sensing data in Beijing-Tianjin-Hebei Region[D]. Beijing:Beijing Forestry University,2015. (in Chinese with English abstract)]

    Google Scholar

    SUN Zhenrong. Estimation of winter wheat area and drought monitoring research based on remote sensing data in Beijing-Tianjin-Hebei Region[D]. Beijing: Beijing Forestry University, 2015. （in Chinese with English abstract）

    Google Scholar

    [27] 程伟,辛晓平. 基于TVDI的内蒙古草地干旱变化特征分析[J]. 中国农业科学,2020,53(13):2728 − 2742. [CHENG Wei,XIN Xiaoping. Analysis of spatial-temporal characteristics of drought variation in grassland area of inner Mongolia based on TVDI[J]. Scientia Agricultura Sinica,2020,53(13):2728 − 2742. (in Chinese with English abstract)]

    Google Scholar

    CHENG Wei, XIN Xiaoping. Analysis of spatial-temporal characteristics of drought variation in grassland area of inner Mongolia based on TVDI[J]. Scientia Agricultura Sinica, 2020, 53（13）: 2728 − 2742. （in Chinese with English abstract）

    Google Scholar

    [28] 唐海, 张代磊, 周文纳. 广东阳江盆地遥感数据地温反演及地热异常靶区圈定[J]. 地质论评,2022,68(6):2396 − 2404. [TANG Hai, ZHANG Dailei, ZHOU Wenna. Inversion of ground temperature from remote sensing data and delineation of geothermal anomaly targets in Yangjiang Basin, Guangdong Province[J]. Geological Review,2022,68(6):2396 − 2404. (in Chinese with English abstract)]

    Google Scholar

    TANG Hai, ZHANG Dailei, ZHOU Wenna. Inversion of ground temperature from remote sensing data and delineation of geothermal anomaly targets in Yangjiang Basin, Guangdong Province[J]. Geological Review, 2022, 68（6）: 2396 − 2404. （in Chinese with English abstract）

    Google Scholar

    [29] 陈振,刘涛,梁守真,等. 基于Modis-TVDI方法的山东小麦生长季旱情遥感监测[J]. 江苏农业科学,2018,46(19):323 − 328. [CHEN Zhen,LIU Tao,LIANG Shouzhen,et al. Remote sensing monitoring of drought in wheat growing season in Shandong Province based on Modis-TVDI method[J]. Jiangsu Agricultural Sciences,2018,46(19):323 − 328. (in Chinese with English abstract)]

    Google Scholar

    CHEN Zhen, LIU Tao, LIANG Shouzhen, et al. Remote sensing monitoring of drought in wheat growing season in Shandong Province based on Modis-TVDI method[J]. Jiangsu Agricultural Sciences, 2018, 46（19）: 323 − 328. （in Chinese with English abstract）

    Google Scholar

    [30] 刘一哲,冯文兰,扎西央宗,等. 基于MODIS TVDI和模糊数学方法的藏北地区旱情等级遥感监测[J]. 干旱区研究,2020,37(1):86 − 96. [LIU Yizhe,FENG Wenlan,ZHA Xiyangzong,et al. Remote sensing monitoring of drought level in North Tibet based on MODIS TVDI and fuzzy mathematics[J]. Arid Zone Research,2020,37(1):86 − 96. (in Chinese with English abstract)]

    Google Scholar

    LIU Yizhe, FENG Wenlan, ZHA Xiyangzong, et al. Remote sensing monitoring of drought level in North Tibet based on MODIS TVDI and fuzzy mathematics[J]. Arid Zone Research, 2020, 37（1）: 86 − 96. （in Chinese with English abstract）

    Google Scholar

    [31] 陈丙寅,杨辽,陈曦,等. 基于改进型TVDI在干旱区旱情监测中的应用研究[J]. 干旱区地理,2019,42(4):902 − 913. [CHEN Bingyin,YANG Liao,CHEN Xi,et al. Application of modified TVDI in drought monitoring in arid areas[J]. Arid Land Geography,2019,42(4):902 − 913. (in Chinese with English abstract)]

    Google Scholar

    CHEN Bingyin, YANG Liao, CHEN Xi, et al. Application of modified TVDI in drought monitoring in arid areas[J]. Arid Land Geography, 2019, 42（4）: 902 − 913. （in Chinese with English abstract）

    Google Scholar

    [32] 林楠,姜然哲,刘强,等. 近20年三江平原地表蒸散发时空特征及驱动因素分析[J]. 中国地质,2021,48(5):1392 − 1407. [LIN Nan,JIANG Ranzhe,LIU Qiang,et al. Spatiotemporal characteristics and driving factors of surface evapotranspiration in Sanjiang Plain in recent 20 years[J]. Geology in China,2021,48(5):1392 − 1407. (in Chinese with English abstract)]

    Google Scholar

    LIN Nan, JIANG Ranzhe, LIU Qiang, et al. Spatiotemporal characteristics and driving factors of surface evapotranspiration in Sanjiang Plain in recent 20 years[J]. Geology in China, 2021, 48（5）: 1392 − 1407. （in Chinese with English abstract）

    Google Scholar

    [33] 童威,郎丰铠. 基于地理探测器的武汉市土地利用变化及其驱动机制探讨[J]. 水利水电技术(中英文),2021,52(4):45 − 56. [TONG Wei,LANG Fengkai. Geodetector-based analysis on land-use variation and its driving force in Wuhan[J]. Water Resources and Hydropower Engineering,2021,52(4):45 − 56. (in Chinese with English abstract)]

    Google Scholar

    TONG Wei, LANG Fengkai. Geodetector-based analysis on land-use variation and its driving force in Wuhan[J]. Water Resources and Hydropower Engineering, 2021, 52（4）: 45 − 56. （in Chinese with English abstract）

    Google Scholar

    [34] 王倩,金晓媚,张绪财,等. 河北省张承地区2001—2020年植被动态变化及驱动因素分析[J]. 现代地质,2023,37(4):881 − 891. [WANG Qian,JIN Xiaomei,ZHANG Xucai,et al. Vegetation dynamics and driving factors in Zhangjiakou-Chengde Area of Hebei Province from 2001 to 2020[J]. Geoscience,2023,37(4):881 − 891. (in Chinese with English abstract)]

    Google Scholar

    WANG Qian, JIN Xiaomei, ZHANG Xucai, et al. Vegetation dynamics and driving factors in Zhangjiakou-Chengde Area of Hebei Province from 2001 to 2020[J]. Geoscience, 2023, 37（4）: 881 − 891. （in Chinese with English abstract）

    Google Scholar

    [35] HEIN L,DE RIDDER N,HIERNAUX P,et al. Desertification in the Sahel:Towards better accounting for ecosystem dynamics in the interpretation of remote sensing images[J]. Journal of Arid Environments,2011,75(11):1164 − 1172. doi: 10.1016/j.jaridenv.2011.05.002

    CrossRef Google Scholar

    [36] 马梓策. 华北地区干旱时空变化特征及其影响因素分析[D]. 呼和浩特:内蒙古师范大学. [MA Zice. Spatial and temporal characteristics of drought and its influencing factors in north china[D]. Hohhot:Inner Mongolia Normal University. (in Chinese with English abstract)]

    Google Scholar

    MA Zice. Spatial and temporal characteristics of drought and its influencing factors in north china[D]. Hohhot: Inner Mongolia Normal University. （in Chinese with English abstract）

    Google Scholar

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